Results 71 to 80 of about 42,160,654 (280)
KACST Arabic Text Classification Project: Overview and Preliminary Results
, 2008 Electronically formatted Arabic free-texts can be found in abundance these days on the World Wide Web, often linked to commercial enterprises and/or government organizations. Vast tracts of knowledge and relations lie hidden within these texts, knowledge
Al-Rajeh, A. +4 more
core +1 more source
ADOCRNet: A Deep Learning OCR for Arabic Documents Recognition
IEEE AccessIn recent years, Optical character recognition (OCR) has experienced a resurgence of interest especially for contemporary Arabic data. In fact, OCR development for printed and handwritten Arabic script is still a challenging task.
Lamia Mosbah +5 more
doaj +1 more source
IET Computer Vision, 2018 This study presents a novel approach for Arabic video text recognition based on recurrent neural networks. In fact, embedded texts in videos represent a rich source of information for indexing and automatically annotating multimedia documents.
Oussama Zayene +4 more
doaj +1 more source
Clarifying Public Policy for Stronger Public Administration in Development
Public Administration and Development, EarlyView.ABSTRACT Public policy is ubiquitous, yet its meaning is often unclear. This ambiguity is not just conceptual. Because policy work is a large part of what public administrations do, how we define policy shapes how we structure and organize our administrative mechanisms.
Matt Andrews
wiley +1 more source
PLANTS, PEOPLE, PLANET, EarlyView.Sorghum is a staple food for hundreds of millions of people in dry regions worldwide, and improving its nutritional quality is vital for global food and health security under climate change. In this study, we evaluated traditional Sudanese sorghum varieties grown in eastern deltas to better understand their natural health‐promoting properties. We found
Khitma A. Sir Elkhatim +5 more
wiley +1 more source
A new hybrid method for Arabic multi-font text segmentation, and a reference corpus construction
Journal of King Saud University: Computer and Information Sciences, 2020 In analytical systems of Arabic text recognition, segmentation is a critical and decisive stage. In this stage, words after being extracted from the text document are segmented into individual characters to allow the feature extraction and classification.
Abdelhay Zoizou +2 more
doaj +1 more source
Sustainable Development, EarlyView.ABSTRACT This systematic review examines stakeholder roles in managing biodiversity within renewable‐energy projects across the MENA region, a highly climate‐vulnerable region yet pursuing rapid energy transition toward achieving SDG 7 (Affordable and Clean Energy). The focus is on regulatory bodies and sector companies as primary actors.
Ghada Amin, Nora Adam, Remmer Sassen
wiley +1 more source
Generative adversarial network based adaptive data augmentation for handwritten Arabic text recognition. [PDF]
PeerJ Comput Sci, 2022 Eltay M, Zidouri A, Ahmad I, Elarian Y.
europepmc +1 more source
An Arabic Optical Character Recognition System Using Recognition-Based Segmentation
, 2001 Optical character recognition (OC) systems improve human-machine interaction and are widely used in many areas. The recognition of cursive scripts is a difficult task as their segmentation suffers from serious problems.
Bergmann, Neil +6 more
core +1 more source
KSTRV1: A scene text recognition dataset for central Kurdish in (Arabic-Based) scriptZenodo
Data in BriefScene Text Recognition (STR) has advanced significantly in recent years, yet languages utilizing Arabic-based scripts, such as Kurdish, remain underrepresented in existing datasets. This paper introduces KSTRV1, the first large-scale dataset designed for
Sardar Omar Salih, Karwan Jacksi
doaj +1 more source